Abstract:

Classic intelligent algorithm has the ability of global search, but it is still easy to fall into local optimum when dealing with composition multi-modal problems, and hard to jump out of it. For this question, a hybrid DE chemical reaction optimization algorithm was proposed. In this approach, DE mutation was used to improve searching accuracy, and elitist reserve was utilized to retain the quality of the whole population. 8 benchmark functions are chosen from CEC 2005, and the accuracy of calculation and the performance of global search will be tested through solving these benchmarks. At last, simulations on these benchmarks are performed with HDECRO and compare the results with several modified intelligent algorithms to draw conclusion.

Key words: intelligent algorithm, global search, CRO, composition multi-modal problem